Raw LLM Responses

For the most up-to-date info, you need to read the journals and follow what the status of active trials is. But many of the journals are behind paywalls, the trials often don't publish results for months to years (and if it didn't go well, it can get buried), and you often need to be a specialist in a specific subfield to understand if it's actual progress, a repetition, or just a nothing burger paper a student published to get their degree. And now we have the noise of AI and the papermills. So what you're asking for is a large organization that is constantly tracking regional drug and treatment decisions, trials across the globe, all the press releases, discovered compounds that might have future use or have been abandoned, and sorting through so many research papers every month. It's absolutely possible to do, but no one wants to pay for it cause it'll be expensive and a bitch to manage, and there'll still be plenty of gaps from all the secrecy. This is why other commenters suggested AI, but honestly AI can be weeks, months, or years behind depending on when it's training data was updated (and assumes that the training data was properly annotated and weighted, as well)